2638-6135
Published by: Radiological Society of North America
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Medicine | 739 | 119 | 137 | 28 |
The scientific interests tackled in Radiology: Cardiothoracic Imaging are Text mining, Radiology, Internal medicine, Cardiology and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The studies in Text mining featured incorporate elements of Deep learning and Artificial intelligence. The work tackled in the journal goes beyond the discipline of Radiology as it also encompasses Lung.
Internal medicine research is the primary subject tackled in Radiology: Cardiothoracic Imaging with a focus on Disease. It facilitated presentations on Cardiology research, particularly Coronary artery disease, Atrial fibrillation and Coronary ct angiography. The journal focuses on research topics in Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within the context of other fields like 2019-20 coronavirus outbreak, Virology and Radiography.
It tackles research works in 2019-20 coronavirus outbreak as well as other disciplines like Chest ct, Pneumonia, Coronavirus and Pandemic. Interdisciplinary research on topics like MEDLINE and Intensive care medicine are the foci of the journal.
The journal publications mainly tackle studies in 2019-20 coronavirus outbreak, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Radiology, Chest ct and MEDLINE. Radiology study tackled in the journal papers is connected to the field of Disease. While Chest ct is the focus of the journal articles, it also provides insights into the studies of Imaging Tool, Disease progression and Text mining.
Radiology: Cardiothoracic Imaging facilitates discussions on Radiology, Text mining, Internal medicine, Cardiology and Lung. Angiography, Chest ct and Thorax research are fields of study within Radiology but they also intertwine with concepts in In patient. The journal served as a forum through which researchers explored works on Chest ct in conjunction with disciplines such as 2019-20 coronavirus outbreak and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
While Text mining is the focus of Radiology: Cardiothoracic Imaging, it also provided insights into the studies of Deep learning, Artificial intelligence, Volume (compression) and Intensive care medicine. The featured Cardiology works encompass concepts such as Coronary artery disease, Artery and Coronary artery calcium and examines them in conjunction with Mr imaging. The featured Lung research zeroes in on concepts in Lung cancer screening but also tackles themes under Cost effectiveness.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Radiology: Cardiothoracic Imaging (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Radiology: Cardiothoracic Imaging (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 16.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 35.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.33% of all publications and 26.67% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
An important aspect often overlooked in academic publishing is the significance of collaborations and partnerships between various institutions, researchers, and academic programs. These alliances often enhance the scale, diversity, and impact of the research conducted, creating a thriving academic community in which knowledge is effectively exchanged and disseminated. In Radiology: Cardiothoracic Imaging, collaborations and partnerships emerged as a distinctive feature, with several high-ranking institutions being part of numerous articles. The geographical diversity present in this form of collaboration provides a comprehensive variety of perspectives and approaches, further driving innovation in the field. For instance, two exemplary institutions that often demonstrate outstanding contributions within this journal are Stanford University and Harvard University. These universities have frequently collaborated both internally and with various entities in their research work. Their endeavors have substantively influenced the field, primarily through the introduction of innovative techniques and comprehensive studies addressing core issues regarding Cardiothoracic Imaging. Examining author affiliations also reveals an extensive network of collaborations within various departments of respective universities, such as between the Departments of Radiology and Cardiology. This multi-disciplinary approach often enriches the research findings by incorporating different aspects of the study's subject matter, providing more holistic insights. Furthermore, often bridging the gap between academia and healthcare industries, many researchers are also associated with Medical Centers and Hospitals, such as Oregon Heath & Science University. It's worth noting that relevant institutions like [best nursing schools in Oregon](https://research.com/degrees/best-nursing-schools-in-oregon) significantly contribute to the corpus of research in Cardiothoracic Imaging through their Applied Nursing programs. Intensive care nursing, in particular, stands as a critical sector where Cardiothoracic Imaging plays a pivotal role. In conclusion, collaborations and partnerships produce a robust nexus of knowledge, making significant strides in areas of study such as Radiology: Cardiothoracic Imaging that ultimately benefit both academia and the wider society.
Scott Simpson;Fernando U. Kay;Suhny Abbara;Sanjeev Bhalla
(2020)Anthony Dangis;Christopher Gieraerts;Yves De Bruecker;Lode Janssen
(2020)Mark Kaminetzky;William Moore;Kush Fansiwala;James S. Babb
(2020)Andrew Lin;Márton Kolossváry;Manish Motwani;Ivana Išgum
(2021)Stephanie Stephanie;Thomas Shum;Heather Cleveland;Suryanarayana R Challa
(2020)Olufunmilayo H. Obisesan;Olufunmilayo H. Obisesan;Albert D. Osei;Albert D. Osei;S.M. Iftekhar Uddin;S.M. Iftekhar Uddin;Omar Dzaye
(2021)Siegfried Adelhoefer;Siegfried Adelhoefer;S M Iftekhar Uddin;Albert D Osei;Albert D Osei;Olufunmilayo H Obisesan
(2020)Hector I Michelena;Alessandro Della Corte;Arturo Evangelista;Joseph J Maleszewski
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